++

2026-09-27 00:41:00 +08:00
parent e87cb869ba
commit 2d4f9230b1
119 changed files with 28773 additions and 28616 deletions
@@ -1,41 +1,41 @@
-from __future__ import annotations
-from pydantic import BaseModel, Field
-
-
-class AgeDistribution(BaseModel):
-    bracket: str
-    percentage: float
-
-
-class IncomeDistribution(BaseModel):
-    bracket: str
-    percentage: float
-
-
-class OccupationDistribution(BaseModel):
-    category: str
-    percentage: float
-
-
-class EthnicityDistribution(BaseModel):
-    group: str
-    percentage: float
-
-
-class DemographicProfile(BaseModel):
-    city_name: str
-    state: str
-    population: int
-    age: list[AgeDistribution] = Field(default_factory=list)
-    income: list[IncomeDistribution] = Field(default_factory=list)
-    occupations: list[OccupationDistribution] = Field(default_factory=list)
-    ethnicity: list[EthnicityDistribution] = Field(default_factory=list)
-    median_household_income: int = 0
-    poverty_rate: float = 0.0
-    unemployment_rate: float = 0.0
-    homeownership_rate: float = 0.0
-    median_rent: int = 0
-    rent_burden_rate: float = 0.0
-    college_education_rate: float = 0.0
-    median_age: float = 0.0
-    city_character: str = ""
+from __future__ import annotations
+from pydantic import BaseModel, Field
+
+
+class AgeDistribution(BaseModel):
+    bracket: str
+    percentage: float
+
+
+class IncomeDistribution(BaseModel):
+    bracket: str
+    percentage: float
+
+
+class OccupationDistribution(BaseModel):
+    category: str
+    percentage: float
+
+
+class EthnicityDistribution(BaseModel):
+    group: str
+    percentage: float
+
+
+class DemographicProfile(BaseModel):
+    city_name: str
+    state: str
+    population: int
+    age: list[AgeDistribution] = Field(default_factory=list)
+    income: list[IncomeDistribution] = Field(default_factory=list)
+    occupations: list[OccupationDistribution] = Field(default_factory=list)
+    ethnicity: list[EthnicityDistribution] = Field(default_factory=list)
+    median_household_income: int = 0
+    poverty_rate: float = 0.0
+    unemployment_rate: float = 0.0
+    homeownership_rate: float = 0.0
+    median_rent: int = 0
+    rent_burden_rate: float = 0.0
+    college_education_rate: float = 0.0
+    median_age: float = 0.0
+    city_character: str = ""